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Simple Machines in London seeks an experienced Solutions Architect to design large-scale, data-intensive platforms for enterprise clients. You will own end-to-end designs, produce clear documentation, and work with engineers, product managers, and client stakeholders to deliver production-ready solutions.
You will thrive in a fast-paced, client-facing environment, balancing long-term architecture with pragmatic delivery, contributing to the architecture practice, and guiding teams through
Solutions Architect Simple Machines London, England, GB
Simple Machines is a leading independent boutique technology firm with a global footprint across London, Poland, Sydney and New Zealand. We are a team of creative engineers and expert technologists working at the intersection of data, AI, data engineering and software engineering. We partner with enterprises, technology companies and governments to design and build bespoke data platforms, intelligent systems and high-impact software products that bring data to life.
We're looking for an experienced Solutions Architect to join our London team. You'll design large-scale, data-intensive platforms and intelligent systems for ambitious enterprise clients, working on hard problems: real-time systems operating at significant scale, complex integration landscapes, and platforms where data and machine learning drive customer-facing outcomes.
This is a hands-on architecture role embedded in an established delivery team. You'll own solution designs end-to-end: shaping how new capabilities are architected, producing clear design documentation, and working with engineers, product managers, and client stakeholders to carry those designs through to production.
This is a client-facing role. You'll spend much of your time working inside the client's organisation, alongside their architects, governance functions, business owners, and third-party vendors as well as our own delivery team. That takes someone who can win trust quickly, build consensus across groups with competing priorities, and push back when it matters.
You'll join a high-performing, multi-disciplinary team delivering a large-scale machine learning platform for a global telecommunications client. The team operates with high autonomy and shared ownership, and works in a hybrid setup with both remote and in-person collaboration with client stakeholders.
Requirements
Core Experience
Nice to Have